How does this skill improve estimation accuracy?

It utilizes a structured decomposition method that forces a breakdown of tasks and requires the explicit identification of risks and dependencies that are often overlooked in gut-feel estimates.

When is it best to use the Development Estimation skill?

It is best used when you have a defined scope or feature set that needs a professional, risk-aware breakdown. It is less effective for trivial tasks or when requirements are completely unknown.

What role do confidence intervals play in the output?

Confidence intervals provide a range (e.g., 10-14 days) based on current information, helping to communicate the level of uncertainty and potential variance to stakeholders.

Can I use this for both time and complexity estimations?

Yes, the workflow is flexible and supports various estimation types including time-based hours/days, story points for effort, or high-level complexity levels.

Development Estimation

Name: Development Estimation
Author: NickCrew

byNickCrew

•

Productivity & Workflow

Generates structured, defensible software development estimates using component breakdowns, risk assessments, and confidence intervals.

About

The Development Estimation skill provides a standardized framework for calculating project scope, moving beyond subjective guessing to create data-driven effort projections. It guides users through a comprehensive workflow of decomposing features into granular components, identifying technical dependencies, and quantifying risks. By incorporating confidence intervals and explicit assumptions, the skill ensures that stakeholders receive transparent and realistic timelines, making it an essential tool for sprint planning, project bidding, and roadmap development.

Key Features

Risk-aware effort and complexity scoring
Confidence interval generation for realistic delivery ranges
7 GitHub stars
Granular component-level scope decomposition
Structured identification of technical and external dependencies
Automated documentation of estimation assumptions

Use Cases

Assessing the complexity and risk of technical debt remediation
Generating high-level project timelines for stakeholder proposals
Providing effort estimates for new feature requests during sprint planning

About

Key Features

Risk-aware effort and complexity scoring
Confidence interval generation for realistic delivery ranges
7 GitHub stars
Granular component-level scope decomposition
Structured identification of technical and external dependencies
Automated documentation of estimation assumptions

Use Cases

Assessing the complexity and risk of technical debt remediation
Generating high-level project timelines for stakeholder proposals
Providing effort estimates for new feature requests during sprint planning